Glossary
/ Cloud Computing

Cloud Computing

Cloud computing refers to the provision of computing power, storage space, and applications over the Internet, rather than hosting them locally on physical computers or servers in an office or data center. It allows businesses and individuals to access a wide range of resources without the need to invest in hardware or install and maintain software applications locally.

There are various service models in cloud computing:

  1. Infrastructure as a Service (IaaS): Provides basic cloud infrastructures such as virtual machines, networks, and storage. Examples include Amazon Web Services (AWS) and Microsoft Azure.
  2. Platform as a Service (PaaS): Offers a platform where developers can create and host applications without having to worry about the underlying infrastructure. Examples include Google App Engine and Heroku.
  3. Software as a Service (SaaS): These are applications provided over the Internet and accessible via a web browser. Examples include Google Workspace, Microsoft Office 365, and Salesforce.

There are also different deployment models:

  • Public Cloud: Resources are provided by a third-party provider over the Internet and shared by multiple customers.
  • Private Cloud: Resources are provided exclusively for a single company, either on-premises or by a third-party provider.
  • Hybrid Cloud: Combines public and private clouds, allowing data and applications to be moved between the two.

The benefits of cloud computing are numerous:

  • Cost Efficiency: Companies don't need to invest in expensive hardware and can instead pay only for the resources they actually use.
  • Scalability: Resources can be easily added or removed as needed, without requiring large upfront investments.
  • Availability and Reliability: Many cloud service providers offer high availability guarantees and redundancy to ensure services are always available.
  • Mobility: As services are accessed via the Internet, users can work from anywhere and access their data and applications.
  • Automated Updates: Software and platforms are updated centrally, ensuring users always have access to the latest features and security updates.

Despite its advantages, there are also concerns about cloud computing, particularly regarding data privacy and security. Data stored in the cloud could be targeted by cyber attacks, and there are concerns about data sovereignty, especially when data is stored across national borders.

In the context of AI and data-driven knowledge management, cloud computing offers the ability to store large amounts of data and perform complex analyses and processing without having to invest in expensive infrastructures. With the right security protocols, this can be an efficient and effective way to deploy and utilize AI services.